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Llama
Skills for Meta's open-source Llama models. Best for self-hosting, multimodal AI, privacy-focused applications, and cost-effective deployment at scale.
1030 skills available
Meta’s Llama is the most widely deployed open-source AI model family. Llama 4 introduced mixture-of-experts architecture and native multimodal capabilities, with Scout offering an unprecedented 10M token context window. Fully open-weight and free to use, Llama powers everything from personal projects to national AI initiatives.
Key Strengths:
- Fully open-weight with no API costs or vendor lock-in
- 10M token context window (Scout) — process massive codebases and archives
- Native multimodal understanding of text, images, and video
- Trained on 200+ languages for global applications
- Fine-tunable for domain-specific needs
- Self-hostable for complete data control
- Adopted by nations for sovereign AI initiatives (France, India, UAE)
Best For: Self-hosted deployments, privacy-sensitive applications, custom fine-tuning, multilingual projects, enterprise AI at scale, and developers building AI-powered products.
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Design compelling data infographics that communicate complex information visually and memorably.
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Apply fundamental machine learning concepts to business problems with clear explanations and practical Python code.
Measure marketing effectiveness, calculate ROI, attribute conversions, and optimize campaigns with data-driven insights.
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Create publication-quality visualizations with Matplotlib and Seaborn using advanced customization and styling.
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Create interactive Power BI reports and dashboards with DAX measures, data modeling, and advanced visualizations.
Build predictive models to forecast trends, identify risks, and make data-driven predictions about future outcomes.
Analyze product usage data to improve user experience, increase engagement, and drive product decisions.
Write clear, effective professional emails for any situation - requests, follow-ups, introductions, and difficult conversations.
Craft beautiful prose for fiction, essays, and creative nonfiction with techniques for voice, rhythm, and imagery.
Master data analysis with Python using Pandas, NumPy, and data manipulation best practices for efficient data processing.
Perform linear and multiple regression analysis to understand relationships between variables and make predictions.
Automate data reports with Python, SQL, and scheduling tools to deliver consistent, timely insights to stakeholders.
Analyze sales performance, pipeline health, and forecast accuracy to optimize revenue operations.
Master conversion-focused sales copy for high and low-ticket offers using AIDA, PAS, BAB frameworks and psychological triggers.
Write clear scientific papers, research articles, and journal submissions using IMRAD structure and academic conventions.
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Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and on-page SEO techniques.
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